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Record W1965057019 · doi:10.1136/ebn.12.4.122

Smoking increased risk of cervical cancer, independent of infection with high-risk HPV typesCommentary

2009· letter· en· W1965057019 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEvidence-Based Nursing · 2009
Typeletter
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineCervical cancerCotinineRisk factorProspective cohort studyCohortObstetricsHuman papillomavirusGynecologyCohort studyPopulationCancerInternal medicineCase-control studyOncologyNicotineEnvironmental health

Abstract

fetched live from OpenAlex

Is smoking an independent risk factor for cervical cancer, after controlling for infection with high-risk types of human papillomavirus (HPV)? ### Design: nested case–control study within a prospective cohort study. ### Setting: 5 population-based serum banks in 4 Nordic countries, consisting of serum samples from >1 million women, most collected during early pregnancy. ### Patients: cases were 588 women diagnosed with invasive cervical cancer after their serum sample had been banked (mean age at diagnosis 34–56 y). Controls were 2861 women who were free of cancer at the time of the corresponding case’s diagnosis, matched to cases (5 per case) by bank, age at sampling, storage time of sample, and county (in Norway).* ### Risk factors: smoking status as assessed by serum cotinine concentration: <20 ng/ml (non-smokers and women passively exposed), 20 to <100 ng/ml (light smokers), and ⩾100 ng/ml (heavy smokers), with adjustment for presence …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.331
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it